Estimation of white-box model parameters via artificial data generation: a two-stage approach
نویسندگان
چکیده
A main problem encountered in control engineering is the estimation of unknown parameters appearing in the plant equations. In this paper, a new off-line method to perform such estimation is proposed. The method is based on the use of the plant simulator and on the generation of artificial data from which the relationship between the unknown parameter vector and available measurements is estimated. A simple example is used to illustrate how effective the method is in comparison to those methods based on the Kalman filtering techniques (Extended Kalman Filter and Unscented Kalman filter).
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